Deploy from GitHub Actions

.dockerignore

@@ -0,0 +1,5 @@
+.git
+.github
+pulsetransit-worker/
+__pycache__/
+*.pyc

.github/workflows/collect.yml

@@ -0,0 +1,42 @@
+name: TUS Collector
+
+on:
+  workflow_dispatch:
+
+permissions:
+  contents: write
+
+jobs:
+  collect:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v4
+
+      - uses: actions/setup-python@v5
+        with:
+          python-version: "3.11"
+
+      - name: Collect estimaciones
+        run: PYTHONPATH=src python src/pulsetransit/collector.py estimaciones
+
+      - name: Collect posiciones every 20 min
+        run: |
+          MINUTE=$(date -u +%M)
+          if [ $((MINUTE % 20)) -eq 0 ] || [ "${{ github.event_name }}" = "workflow_dispatch" ]; then
+            PYTHONPATH=src python src/pulsetransit/collector.py posiciones
+          else
+            echo "Skipping posiciones this run (minute=$MINUTE)"
+          fi
+
+      - name: Validate
+        run: PYTHONPATH=src python src/pulsetransit/validate.py
+
+      - name: Commit DB update
+        run: |
+          git config user.name "tus-bot"
+          git config user.email "bot@tus"
+          git add -f data/tus.db
+          git diff --cached --quiet || (
+            git commit -m "data: collect $(date -u +%H:%M)" &&
+            git push https://x-access-token:${{ secrets.GITHUB_TOKEN }}@github.com/pmatorras/pulsetransit.git
+          )

.github/workflows/deploy-hf.yml

@@ -0,0 +1,41 @@
+name: Deploy Dashboard to HF Space
+
+on:
+  workflow_dispatch:
+
+jobs:
+  sync-to-hub:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v4
+
+      - name: Deploy to Hugging Face
+        env:
+          HF_TOKEN: ${{ secrets.HF_TOKEN }}
+        run: |
+          # 1. Create a clean temporary directory
+          mkdir /tmp/hf_deploy
+          
+          # 2. Copy all files EXCEPT the .git folder and the DB files
+          rsync -av --exclude='.git' --exclude='data/*.db' ./ /tmp/hf_deploy/
+          
+          # 3. Go into the clean directory
+          cd /tmp/hf_deploy
+          
+          # 4. Merge the README with the HF metadata
+          cat hf_space_metadata.yml > hf_readme.md
+          echo "" >> hf_readme.md
+          cat README.md >> hf_readme.md
+          mv hf_readme.md README.md
+          
+          # 5. Initialize a brand new git repo (NO HISTORY)
+          git init
+          git config user.email "github-actions@github.com"
+          git config user.name "GitHub Actions"
+          
+          # 6. Commit the current state
+          git add .
+          git commit -m "Deploy from GitHub Actions"
+          
+          # 7. Force push to the 'main' branch on Hugging Face
+          git push -f https://pmatorras:$HF_TOKEN@huggingface.co/spaces/pmatorras/pulsetransit HEAD:main

.github/workflows/monitor.yml

@@ -0,0 +1,51 @@
+name: Monitor Worker
+
+on:
+  schedule:
+    - cron: '0 8 * * *' 
+  workflow_dispatch:
+
+jobs:
+  health-check:
+    runs-on: ubuntu-latest
+    steps:
+      - name: Check worker health
+        run: |
+          RESPONSE=$(curl -s https://pulsetransit-worker.pablo-matorras.workers.dev/health)
+          echo "Worker response: $RESPONSE"
+          
+          LAST_EST=$(echo $RESPONSE | jq -r '.last_estimaciones')
+          LAST_POS=$(echo $RESPONSE | jq -r '.last_posiciones')
+          
+          # Calculate age
+          EST_AGE=$(($(date +%s) - $(date -d "$LAST_EST" +%s)))
+          POS_AGE=$(($(date +%s) - $(date -d "$LAST_POS" +%s)))
+          
+          # Check current hour (UTC - adjust if needed)
+          CURRENT_HOUR=$(date +%H)
+          
+          # Service hours: 5am-11pm UTC (6am-midnight CET)
+          if [ $CURRENT_HOUR -ge 5 ] && [ $CURRENT_HOUR -lt 23 ]; then
+            # During service hours - strict checks
+            if [ $EST_AGE -gt 1800 ]; then  # 30 min
+              echo "⛔ ERROR: Estimaciones stale (${EST_AGE}s) during service hours"
+              exit 1
+            elif [ $EST_AGE -gt 600 ]; then  # 10 min
+              echo "⚠️ WARNING: Estimaciones possibly stale (${EST_AGE}s old)"
+              # Don't exit - just warn
+            fi
+            
+            if [ $POS_AGE -gt 7200 ]; then
+              echo "⛔ ERROR: Posiciones stale (${POS_AGE}s) during service hours"
+              exit 1
+            fi
+          else
+            # Outside service hours - lenient
+            echo "💤 Outside service hours - data age: est=${EST_AGE}s, pos=${POS_AGE}s"
+            if [ $EST_AGE -gt 43200 ]; then  # 12 hours
+              echo "⚠️ WARNING: Data very stale, but outside service hours"
+            fi
+            # Don't fail outside service hours
+          fi
+          
+          echo "✅ Worker is healthy"

.gitignore

@@ -0,0 +1,24 @@
+# Data — only commit static info
+*.db
+*.csv
+!data/gtfs-static/
+!data/gtfs-static/*.txt
+
+# Python
+__pycache__/
+*.pyc
+*.pyo
+.env
+.venv/
+*.egg-info/
+dist/
+build/
+
+# Notebooks
+.ipynb_checkpoints/
+
+# OS
+.DS_Store
+Thumbs.db
+
+.wrangler

Dockerfile

@@ -0,0 +1,28 @@
+# Use a lightweight Python base image
+FROM python:3.11-slim
+
+# Hugging Face Spaces strongly recommends running as a non-root user (User ID 1000)
+RUN useradd -m -u 1000 user
+USER user
+
+# Set environment variables for the user and Streamlit
+ENV HOME=/home/user \
+    PATH=/home/user/.local/bin:$PATH \
+    STREAMLIT_SERVER_PORT=7860 \
+    STREAMLIT_SERVER_ADDRESS=0.0.0.0
+
+# Set the working directory
+WORKDIR $HOME/app
+
+# Copy all project files into the container with the correct permissions
+COPY --chown=user:user . $HOME/app
+
+# Install your package using your existing pyproject.toml
+RUN pip install --no-cache-dir --upgrade pip && \
+    pip install --no-cache-dir .
+
+# Expose the default Hugging Face Spaces port
+EXPOSE 7860
+
+# Run the Streamlit dashboard
+CMD ["streamlit", "run", "src/pulsetransit/dashboard/app.py"]

LICENSE

@@ -0,0 +1,21 @@
+MIT License
+
+Copyright (c) 2026 Pablo Matorras
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

README.md

@@ -0,0 +1,86 @@
+---
+title: PulseTransit
+emoji: 🚌
+colorFrom: blue
+colorTo: green
+sdk: docker
+---
+
+# PulseTransit
+![Worker Status](https://img.shields.io/endpoint?url=https://pulsetransit-worker.pablo-matorras.workers.dev/badge&cacheSeconds=60)
+
+
+Real-time data pipeline for TUS (Transportes Urbanos de Santander) bus network.
+Collects live vehicle positions and stop-level ETA predictions to build a 
+historical dataset for delay analysis and ML-based prediction.
+
+## Data Sources
+
+### Real-time Data (datos.santander.es API)
+
+- **`posiciones`**: GPS positions of buses (lat/lon, timestamp, line, vehicle ID)
+- **`estimaciones_parada`**: Real-time ETAs for each bus-stop pair
+- ~~**`pasos_parada`**: Historical passages (stale since June 2025, not used)~~
+
+### Static Data (NAP - National Access Point)
+
+GTFS static files from [nap.transportes.gob.es](https://nap.transportes.gob.es/Files/Detail/1391):
+
+- **`stops.txt`**: Stop coordinates and metadata (for proximity calculation)
+- **`shapes.txt`**: Detailed route geometries (for GPS map-matching and visualization)
+- **`routes.txt`**: Route names, colors, and metadata
+- **`trips.txt`**: Trip patterns and service IDs
+- **`stop_times.txt`**: Stop sequences and route structure
+- **`calendar_dates.txt`**: Service exceptions (holidays, special schedules)
+
+**Note**: GTFS files are stored in `data/gtfs-static/` (not tracked in git due to size).
+
+
+Source: [datos.santander.es](http://datos.santander.es)
+
+## Architecture
+
+**Data Collection:**
+- **Cloudflare Worker** (`pulsetransit-worker/`): Scheduled collection every 2 minutes (estimaciones) and hourly (posiciones), storing in Cloudflare D1 database
+- **GitHub Actions (Legacy)** (`.github/workflows/collect.yml`): Legacy collector, writes to `data/tus.db` for development/testing
+
+**Database Schema:**
+- `estimaciones`: Predictions with `UNIQUE(parada_id, linea, fech_actual)` to deduplicate
+- `posiciones`: GPS breadcrumbs with `UNIQUE(vehiculo, instante)` to deduplicate overlapping route histories
+
+## Project Structure
+
+```
+src/pulsetransit/ # Legacy Python collector (backup/testing)
+├── collector.py # API fetching and DB insertion
+└── db.py # Schema and connection management
+
+pulsetransit-worker/ # Cloudflare Worker (production collector)
+├── src/index.js # Scheduled tasks, API fetching, health endpoint
+├── schema.sql # D1 database schema
+└── wrangler.jsonc # Cloudflare config and cron triggers
+
+.github/workflows/
+├── collect.yml # Manual backup collector
+└── monitor.yml # Hourly worker health check
+
+data/
+└── tus.db # SQLite database (GitHub Actions/local dev)
+```
+
+
+## Roadmap
+
+- [x] Data collection pipeline (GPS + ETA)
+- [ ] GTFS static feed integration (stop geometries, scheduled timetables)
+- [ ] Delay computation (predicted vs actual arrival)
+- [ ] Weather feature enrichment (via meteomat)
+- [ ] ML delay prediction model
+- [ ] Live dashboard
+
+## Setup
+
+```bash
+pip install -e .
+python src/pulsetransit/collector.py both
+```

data/gtfs-static/agency.txt

@@ -0,0 +1,2 @@
+agency_id,agency_name,agency_url,agency_timezone,agency_lang,agency_phone,agency_fare_url
+1,S.M.T.U. SANTANDER (TUS),https://tus.santander.es,Europe/Madrid,es,,https://tus.santander.es

data/gtfs-static/calendar.txt

@@ -0,0 +1 @@
+service_id,monday,tuesday,wednesday,thursday,friday,saturday,sunday,start_date,end_date

data/gtfs-static/routes.txt

@@ -0,0 +1,31 @@
+route_id,agency_id,route_short_name,route_long_name,route_desc,route_type,route_url,route_color,route_text_color
+1,1,1,G.TREVILLA 14-PCTCAN/ADARZO,,3,,FF0000,FFFFFF
+2,1,2,CORBAN-CONSUELO BERGES,,3,,EBBCC2,000000
+3,1,3,OJAIZ-SARDINERO/UNI/P.PEREDA,,3,,FFD014,000000
+4,1,4,B.PESQUERO-INT.SARDINERO/UNI,,3,,3AF2E5,000000
+11,1,11,AVDA.VALDECILLA-PZA.ITALIA,,3,,BA3309,FFFFFF
+12,1,12,CARREFOUR,,3,,B2DB74,000000
+13,1,13,LLUJA-CUETO,,3,,D4B0D3,000000
+14,1,14,ESTACIONES,,3,,3EB9E6,000000
+15,1,15,ESTACIONES-CAMPING,,3,,F5F53D,000000
+16,1,16,PLAZA DE LOS REMEDIOS,,3,,D444B2,000000
+17,1,17,PZA.ESTACIONES-CORBAN/CIRIEGO,,3,,FFD2C7,000000
+18,1,18,PUERTOCHICO-CORBANERA/CASTILLO,,3,,C9F3FF,000000
+31,1,E31,ALISAL-INT.SARDINERO,,3,,BED171,000000
+41,1,E1,SE INT.VALDECILLA- INT.SARDINERO,,3,,2A99B5,FFFFFF
+42,1,E2,S.E. INTERMODAL,,3,,C9CCC0,000000
+43,1,E3,SE MIRANDA-INSTITUTOS,,3,,D692D4,000000
+44,1,E4,SE SAN MARTIN-INSTITUTOS,,3,,E8B780,000000
+51,1,5C1,MIRANDA/PLZ. ITALIA C1,,3,,CFCFCF,000000
+52,1,5C2,MIRANDA/PLZ. ITALIA C2,,3,,ADADAD,000000
+61,1,6C1,COMPLEJO C1,,3,,0EC758,FFFFFF
+62,1,6C2,COMPLEJO RUTH BEITIA C2,,3,,00C200,FFFFFF
+71,1,7C1,LUIS QUINTANILLA C1,,3,,FF9D1C,000000
+72,1,7C2,LUIS QUINTANILLA C2,,3,,FF9D1C,000000
+99,1,99,LANZADERA,,3,,FF9D1C,000000
+100,1,LC,INT.VALDECILLA-INT SARDINERO,,3,,1717FF,000000
+101,1,N1,CORBAN-G. ATECA por Valdenoja,,3,,ADADAD,000000
+102,1,N2,CORBAN-COMPLEJO por Paseo Altamira,,3,,696969,FFFFFF
+103,1,N3,PEÑACASTILLO-PLAZA DE ITALIA ,,3,,ABABAB,000000
+241,1,24C1,PCTCAN-SAN MARTIN-PCTCAN,,3,,FF6622,000000
+242,1,24C2,PCTCAN-SAN MARTIN-PCTCAN,,3,,FF6622,000000

data/gtfs-static/stops.txt

@@ -0,0 +1,460 @@
+stop_id,stop_code,stop_name,stop_desc,stop_lat,stop_lon,zone_id,stop_url,location_type,parent_station,stop_timezone
+1,PA1,LOS CIRUELOS 47,Parada,43.4576488249693,-3.85555763126247,,,,,Europe/Madrid
+10,PA10,CUATRO CAMINOS,Parada,43.4587638498046,-3.82538532259084,,,,,Europe/Madrid
+99,PA100,LOS CASTROS 39,Parada,43.4724960314191,-3.79209293900641,,,,,Europe/Madrid
+100,PA101,LOS CASTROS 23,Parada,43.4732880183678,-3.78791271217829,,,,,Europe/Madrid
+101,PA103,LAS ESTACIONES,Parada,43.4591167695794,-3.81075395497855,,,,,Europe/Madrid
+102,PA104,CALLE CASTILLA 27,Parada,43.4575008706594,-3.81285327700227,,,,,Europe/Madrid
+103,PA105,CALLE CASTILLA 51,Parada,43.4557605431402,-3.817533946692,,,,,Europe/Madrid
+104,PA106,CALLE CASTILLA 71,Parada,43.4545723535417,-3.82078517573242,,,,,Europe/Madrid
+105,PA107,CALLE CASTILLA 64,Parada,43.453146350609,-3.82493768892471,,,,,Europe/Madrid
+106,PA108,PUENTE LA MARGA,Parada,43.452694764383,-3.82774505856727,,,,,Europe/Madrid
+107,PA109,JERONIMO SAINZ DE LA MAZA 9,Parada,43.4560471857845,-3.82704379820745,,,,,Europe/Madrid
+11,PA11,SAN FERNANDO,Parada,43.4602549664282,-3.8199534076077,,,,,Europe/Madrid
+109,PA111,MENENDEZ PELAYO 97,Parada,43.4673013619228,-3.79216289556649,,,,,Europe/Madrid
+110,PA112,MENENDEZ PELAYO 61,Parada,43.4667016896395,-3.79595983788604,,,,,Europe/Madrid
+111,PA113,VALLICIERGO 7,Parada,43.4647215973614,-3.80033541399032,,,,,Europe/Madrid
+112,PA114,SANTA LUCIA 1,Parada,43.4639724054467,-3.80384447007856,,,,,Europe/Madrid
+113,PA115,GUEVARA 21,Parada,43.4637344370763,-3.80742315320999,,,,,Europe/Madrid
+114,PA116,PLAZA DE LOS REMEDIOS,Parada,43.4627399847095,-3.80867161085099,,,,,Europe/Madrid
+115,PA118,JOSE HIERRO 22,Parada,43.4606156156359,-3.82542496460283,,,,,Europe/Madrid
+116,PA119,JOSE HIERRO 32,Parada,43.4624208941179,-3.82369373013492,,,,,Europe/Madrid
+12,PA12,JESUS DE MONASTERIO 21,Parada,43.4617290137147,-3.81243950472629,,,,,Europe/Madrid
+117,PA120,LAS MERCEDARIAS,Parada,43.4644229373817,-3.81974712118845,,,,,Europe/Madrid
+118,PA121,PASEO DE ALTAMIRA 89,Parada,43.4652773202967,-3.81775393456929,,,,,Europe/Madrid
+119,PA122,PASEO DE ALTAMIRA 87,Parada,43.4671905802941,-3.81475214229526,,,,,Europe/Madrid
+120,PA123,LOS SALESIANOS,Parada,43.4673992465001,-3.80870448748227,,,,,Europe/Madrid
+121,PA124,PRADO SAN ROQUE,Parada,43.4672659976073,-3.80625175486188,,,,,Europe/Madrid
+122,PA125,PASEO DE ALTAMIRA 41,Parada,43.4677650748204,-3.80111657271067,,,,,Europe/Madrid
+123,PA126,SANTA CLOTILDE,Parada,43.4685213555613,-3.79765062764561,,,,,Europe/Madrid
+124,PA127,BAJADA DE LA ENCINA 1,Parada,43.468870608137,-3.7916241731006,,,,,Europe/Madrid
+125,PA128,FERNANDO CALDERÓN RUEDA 6,Parada,43.470468715894,-3.78918220049349,,,,,Europe/Madrid
+126,PA129,PLAZA DE ITALIA CASINO,Parada,43.4720669820009,-3.78226709203205,,,,,Europe/Madrid
+13,PA13,AYUNTAMIENTO,Parada,43.4614716076811,-3.81004714351273,,,,,Europe/Madrid
+127,PA130,REINA VICTORIA 117,Parada,43.4698843300937,-3.77750007123078,,,,,Europe/Madrid
+128,PA131,LAS ESCLAVAS,Parada,43.4675248095255,-3.7794741268824,,,,,Europe/Madrid
+129,PA132,PEREZ GALDÓS 17,Parada,43.4664497093828,-3.78491352890353,,,,,Europe/Madrid
+130,PA133,JOSE HIERRO 10,Parada,43.4594847354251,-3.82642371027838,,,,,Europe/Madrid
+131,PA134,LOS PINARES,Parada,43.471390090196,-3.7877614643787,,,,,Europe/Madrid
+133,PA136,PASEO DE ALTAMIRA 28,Parada,43.4686154673231,-3.79287101284989,,,,,Europe/Madrid
+134,PA137,PASEO DE ALTAMIRA 58,Parada,43.4685837762071,-3.7977379893668,,,,,Europe/Madrid
+135,PA138,PASEO DE ALTAMIRA 84,Parada,43.4676743729047,-3.8019555747684,,,,,Europe/Madrid
+136,PA139,PASEO DE ALTAMIRA 122,Parada,43.4674532440932,-3.80559355392471,,,,,Europe/Madrid
+14,PA14,CORREOS,Parada,43.4614823957,-3.80653011145617,,,,,Europe/Madrid
+137,PA140,LOS SALESIANOS,Parada,43.4675874471235,-3.80932910373885,,,,,Europe/Madrid
+138,PA141,PASEO DE ALTAMIRA 224,Parada,43.4673384590671,-3.81473682082279,,,,,Europe/Madrid
+139,PA142,PASEO DE ALTAMIRA 256,Parada,43.4654361606394,-3.81772813699138,,,,,Europe/Madrid
+140,PA143,PASEO DE ALTAMIRA 266,Parada,43.4643419018453,-3.82032421432836,,,,,Europe/Madrid
+141,PA144,COLEGIO LA SALLE,Parada,43.4624561585847,-3.8238619575228,,,,,Europe/Madrid
+142,PA145,JOSE HIERRO 19,Parada,43.4604061435979,-3.82581594595342,,,,,Europe/Madrid
+143,PA146,CATEDRAL,Parada,43.4614250526855,-3.80724262100708,,,,,Europe/Madrid
+146,PA149,MENENDEZ PELAYO 14,Parada,43.4657017223253,-3.79808139223909,,,,,Europe/Madrid
+15,PA15,JARDINES DE PEREDA,Parada,43.4617267613344,-3.80353646845979,,,,,Europe/Madrid
+147,PA150,MENENDEZ PELAYO 46,Parada,43.4667049715542,-3.79555165572053,,,,,Europe/Madrid
+148,PA151,MENENDEZ PELAYO 76,Parada,43.4671475465413,-3.79249220675055,,,,,Europe/Madrid
+149,PA152,BAJADA DE LA ENCINA S/N,Parada,43.4707630715103,-3.78912928257658,,,,,Europe/Madrid
+150,PA153,COMPLEJO DEPORTIVO,Parada,43.4602087594312,-3.85267179932964,,,,,Europe/Madrid
+151,PA154,AVENIDA DEL DEPORTE 11,Parada,43.4613667190941,-3.84717137239985,,,,,Europe/Madrid
+152,PA155,LAVAPIES 1,Parada,43.4626994625506,-3.83889751016233,,,,,Europe/Madrid
+153,PA156,CALLE REPUENTE 43,Parada,43.4640869279286,-3.83493860027926,,,,,Europe/Madrid
+154,PA157,CALLE REPUENTE 26,Parada,43.4671122353559,-3.83196315715773,,,,,Europe/Madrid
+155,PA158,CALLE REPUENTE 15,Parada,43.46918793866,-3.8282166937927,,,,,Europe/Madrid
+156,PA159,BARRIO LA TORRE 95,Parada,43.4714991606583,-3.82114062648601,,,,,Europe/Madrid
+16,PA16,PUERTO CHICO,Parada,43.4621794921801,-3.79741106347385,,,,,Europe/Madrid
+157,PA160,BARRIO LA TORRE 1,Parada,43.4738398841223,-3.81528526705468,,,,,Europe/Madrid
+158,PA161,JORGE SEPULVEDA 11,Parada,43.4742986025426,-3.81156862881098,,,,,Europe/Madrid
+159,PA162,AVENIDA CANTABRIA 43,Parada,43.4751237424502,-3.80905605470708,,,,,Europe/Madrid
+160,PA163,PADRE MENNI,Parada,43.4763196471126,-3.80303363302839,,,,,Europe/Madrid
+161,PA164,AVENIDA CANTABRIA 11,Parada,43.4775564670184,-3.79755458610791,,,,,Europe/Madrid
+163,PA167,MANUEL GONZALEZ HOYOS 39,Parada,43.4807082871033,-3.79577564210222,,,,,Europe/Madrid
+164,PA168,VALDENOJA 25,Parada,43.4808930736711,-3.79274105426077,,,,,Europe/Madrid
+165,PA169,VALDENOJA 3,Parada,43.4811720017571,-3.78993570707354,,,,,Europe/Madrid
+17,PA17,CASTELAR,Parada,43.4627488279462,-3.79292037646895,,,,,Europe/Madrid
+167,PA171,ALCALDE VEGA LAMERA 1,Parada,43.4731789406836,-3.79343630829962,,,,,Europe/Madrid
+168,PA172,JOSE HIERRO 9,Parada,43.4595818856838,-3.82654915173831,,,,,Europe/Madrid
+169,PA173,GRUPO SAN FRANCISCO,Parada,43.4630464130455,-3.82487302573295,,,,,Europe/Madrid
+170,PA174,PASEO DE ALTAMIRA 314,Parada,43.4617601311828,-3.82944341397276,,,,,Europe/Madrid
+171,PA175,FACULTAD DE MEDICINA,Parada,43.4596742222992,-3.83457235466751,,,,,Europe/Madrid
+172,PA176,CARDENAL HERRERA ORIA 26,Parada,43.4588974095354,-3.83894435969918,,,,,Europe/Madrid
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+21,PA21,LA MAGDALENA,Parada,43.4687262484862,-3.77644957676557,,,,,Europe/Madrid
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+362,PA395,CASA DEL DEPORTE,Parada,43.4606634368548,-3.8509015662423,,,,,Europe/Madrid
+363,PA396,CORCEÑO,Parada,43.4626014783748,-3.85690491208748,,,,,Europe/Madrid
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+365,PA398,AMBULATORIO,Parada,43.4661101291899,-3.85659863480881,,,,,Europe/Madrid
+366,PA399,BARRIO EL SOMO 82,Parada,43.4665377009843,-3.85906587107027,,,,,Europe/Madrid
+4,PA4,JOSE MARIA COSSIO 33,Parada,43.4594039079168,-3.84621045531486,,,,,Europe/Madrid
+40,PA40,CORREOS,Parada,43.461586284304,-3.8070180554901,,,,,Europe/Madrid
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+374,PA407,BARRIO EL SOMO 37,Parada,43.4660687872555,-3.85666035776502,,,,,Europe/Madrid
+375,PA408,EL SOMO,Parada,43.4655283284939,-3.85390649220254,,,,,Europe/Madrid
+376,PA409,CORCEÑO 69,Parada,43.4622106975426,-3.85707110832907,,,,,Europe/Madrid
+41,PA41,PLAZA AYUNTAMIENTO,Parada,43.461676344705,-3.81017720129389,,,,,Europe/Madrid
+377,PA410,AVENIDA DEL DEPORTE 9,Parada,43.4607778179876,-3.85013538058959,,,,,Europe/Madrid
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+390,PA424,LA GLORIA 1,Parada,43.4630739670259,-3.83949902438931,,,,,Europe/Madrid
+394,PA428,INSTITUTOS PEÑACASTILLO,Parada,43.4465876612644,-3.85242358740531,,,,,Europe/Madrid
+395,PA429,CALLE ALTA 46,Parada,43.4596932782695,-3.81546456183005,,,,,Europe/Madrid
+43,PA43,SAN FERNANDO 22,Parada,43.4604212625301,-3.81986739529346,,,,,Europe/Madrid
+396,PA430,CALLE ALTA 56,Parada,43.4590074277368,-3.81751758270069,,,,,Europe/Madrid
+397,PA431,CALLE ALTA 80,Parada,43.4584920717696,-3.82167105156775,,,,,Europe/Madrid
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+399,PA433,PLAZA DE TOROS,Parada,43.4567534235799,-3.82669235968599,,,,,Europe/Madrid
+400,PA434,CALLE ALTA 28,Parada,43.460311331633,-3.81240249785165,,,,,Europe/Madrid
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+44,PA44,SAN FERNANDO 66,Parada,43.4592421279873,-3.82426744137884,,,,,Europe/Madrid
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+407,PA441,EMILIO DIAZ CANEJA,Parada,43.460868133141,-3.83323861642279,,,,,Europe/Madrid
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+409,PA443,EL MAZO,Parada,43.4666841504528,-3.86817815177243,,,,,Europe/Madrid
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+415,PA449,VALDECILLA SUR,Parada,43.4546510006132,-3.82748347885879,,,,,Europe/Madrid
+45,PA45,AVENIDA DE VALDECILLA,Parada,43.4575563357455,-3.83041565699705,,,,,Europe/Madrid
+420,PA454,PCTCAN 1,Parada,43.4527992548983,-3.87004191278329,,,,,Europe/Madrid
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+430,PA464,CALLE LA PEREDA,Parada,43.4780475234356,-3.80448257354547,,,,,Europe/Madrid
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+434,PA468,VICENTE TRUEBA,Parada,43.459986994748,-3.85666849995585,,,,,Europe/Madrid
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+47,PA47,PLAZA MANUEL LLANO,Parada,43.4582239387637,-3.84071370115077,,,,,Europe/Madrid
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+443,PA477,JOSE ORTEGA Y GASSET 2,Parada,43.4462019313202,-3.86296969164083,,,,,Europe/Madrid
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+48,PA48,JOSE MARIA COSSIO 12,Parada,43.4598511204018,-3.84150152934565,,,,,Europe/Madrid
+446,PA480,MARQUES DE HAZAS,Parada,43.4768960647198,-3.80711069007873,,,,,Europe/Madrid
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+452,PA486,PCTCAN 2,Parada,43.4529102297186,-3.87144353206348,,,,,Europe/Madrid
+453,PA487,PCTCAN 3,Parada,43.4503880060865,-3.87446954423473,,,,,Europe/Madrid
+454,PA488,PCTCAN-UNEATLANTICO,Parada,43.451337425151,-3.8768700067606,,,,,Europe/Madrid
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+49,PA49,JOSE MARIA COSSIO 24,Parada,43.4598340579658,-3.8435263392934,,,,,Europe/Madrid
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+90,PA90,BARRIO LAS TEJERAS,Parada,43.4389535091726,-3.87833096279877,,,,,Europe/Madrid
+92,PA92,JERONIMO SAINZ DE LA MAZA,Parada,43.4563261084019,-3.82709914298288,,,,,Europe/Madrid
+93,PA93,CANDINA,Parada,43.4531465599797,-3.82832522356584,,,,,Europe/Madrid
+94,PA94,LA LONJA,Parada,43.4532909066148,-3.82111332664809,,,,,Europe/Madrid
+95,PA95,MARQUES DE LA HERMIDA 36,Parada,43.4540308940062,-3.81842261568624,,,,,Europe/Madrid
+96,PA96,BARRIO PESQUERO,Parada,43.4521640063865,-3.81877146629328,,,,,Europe/Madrid
+97,PA97,PARQUE VARADERO,Parada,43.4540444185371,-3.81811811145799,,,,,Europe/Madrid
+98,PA98,MARQUES DE LA HERMIDA 1,Parada,43.4556979608165,-3.81231000356183,,,,,Europe/Madrid

hf_space_metadata.yml

@@ -0,0 +1,7 @@
+---
+title: PulseTransit
+emoji: 🚌
+colorFrom: blue
+colorTo: green
+sdk: docker
+---

pulsetransit-worker/.editorconfig

@@ -0,0 +1,12 @@
+# http://editorconfig.org
+root = true
+
+[*]
+indent_style = tab
+end_of_line = lf
+charset = utf-8
+trim_trailing_whitespace = true
+insert_final_newline = true
+
+[*.yml]
+indent_style = space

pulsetransit-worker/.gitignore

@@ -0,0 +1,170 @@
+# Logs
+
+logs
+_.log
+npm-debug.log_
+yarn-debug.log*
+yarn-error.log*
+lerna-debug.log*
+.pnpm-debug.log*
+
+# Diagnostic reports (https://nodejs.org/api/report.html)
+
+report.[0-9]_.[0-9]_.[0-9]_.[0-9]_.json
+
+# Runtime data
+
+pids
+_.pid
+_.seed
+\*.pid.lock
+
+# Directory for instrumented libs generated by jscoverage/JSCover
+
+lib-cov
+
+# Coverage directory used by tools like istanbul
+
+coverage
+\*.lcov
+
+# nyc test coverage
+
+.nyc_output
+
+# Grunt intermediate storage (https://gruntjs.com/creating-plugins#storing-task-files)
+
+.grunt
+
+# Bower dependency directory (https://bower.io/)
+
+bower_components
+
+# node-waf configuration
+
+.lock-wscript
+
+# Compiled binary addons (https://nodejs.org/api/addons.html)
+
+build/Release
+
+# Dependency directories
+
+node_modules/
+jspm_packages/
+
+# Snowpack dependency directory (https://snowpack.dev/)
+
+web_modules/
+
+# TypeScript cache
+
+\*.tsbuildinfo
+
+# Optional npm cache directory
+
+.npm
+
+# Optional eslint cache
+
+.eslintcache
+
+# Optional stylelint cache
+
+.stylelintcache
+
+# Microbundle cache
+
+.rpt2_cache/
+.rts2_cache_cjs/
+.rts2_cache_es/
+.rts2_cache_umd/
+
+# Optional REPL history
+
+.node_repl_history
+
+# Output of 'npm pack'
+
+\*.tgz
+
+# Yarn Integrity file
+
+.yarn-integrity
+
+# parcel-bundler cache (https://parceljs.org/)
+
+.cache
+.parcel-cache
+
+# Next.js build output
+
+.next
+out
+
+# Nuxt.js build / generate output
+
+.nuxt
+dist
+
+# Gatsby files
+
+.cache/
+
+# Comment in the public line in if your project uses Gatsby and not Next.js
+
+# https://nextjs.org/blog/next-9-1#public-directory-support
+
+# public
+
+# vuepress build output
+
+.vuepress/dist
+
+# vuepress v2.x temp and cache directory
+
+.temp
+.cache
+
+# Docusaurus cache and generated files
+
+.docusaurus
+
+# Serverless directories
+
+.serverless/
+
+# FuseBox cache
+
+.fusebox/
+
+# DynamoDB Local files
+
+.dynamodb/
+
+# TernJS port file
+
+.tern-port
+
+# Stores VSCode versions used for testing VSCode extensions
+
+.vscode-test
+
+# yarn v2
+
+.yarn/cache
+.yarn/unplugged
+.yarn/build-state.yml
+.yarn/install-state.gz
+.pnp.\*
+
+# wrangler project
+
+.dev.vars*
+!.dev.vars.example
+.env*
+!.env.example
+.wrangler/
+
+#vscode
+.vscode

pulsetransit-worker/.prettierrc

@@ -0,0 +1,6 @@
+{
+	"printWidth": 140,
+	"singleQuote": true,
+	"semi": true,
+	"useTabs": true
+}

pulsetransit-worker/AGENTS.md

@@ -0,0 +1,34 @@
+# Cloudflare Workers
+
+STOP. Your knowledge of Cloudflare Workers APIs and limits may be outdated. Always retrieve current documentation before any Workers, KV, R2, D1, Durable Objects, Queues, Vectorize, AI, or Agents SDK task.
+
+## Docs
+
+- https://developers.cloudflare.com/workers/
+- MCP: `https://docs.mcp.cloudflare.com/mcp`
+
+For all limits and quotas, retrieve from the product's `/platform/limits/` page. eg. `/workers/platform/limits`
+
+## Commands
+
+| Command | Purpose |
+|---------|---------|
+| `npx wrangler dev` | Local development |
+| `npx wrangler deploy` | Deploy to Cloudflare |
+| `npx wrangler types` | Generate TypeScript types |
+
+Run `wrangler types` after changing bindings in wrangler.jsonc.
+
+## Node.js Compatibility
+
+https://developers.cloudflare.com/workers/runtime-apis/nodejs/
+
+## Errors
+
+- **Error 1102** (CPU/Memory exceeded): Retrieve limits from `/workers/platform/limits/`
+- **All errors**: https://developers.cloudflare.com/workers/observability/errors/
+
+## Product Docs
+
+Retrieve API references and limits from:
+`/kv/` · `/r2/` · `/d1/` · `/durable-objects/` · `/queues/` · `/vectorize/` · `/workers-ai/` · `/agents/`

pulsetransit-worker/package-lock.json

@@ -0,0 +1,1504 @@
+{
+	"name": "pulsetransit-worker",
+	"version": "0.2.0",
+	"lockfileVersion": 3,
+	"requires": true,
+	"packages": {
+		"": {
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+			"version": "0.2.0",
+			"devDependencies": {
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+			}
+		},
+		"node_modules/@cloudflare/kv-asset-handler": {
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+			"dev": true,
+			"license": "MIT OR Apache-2.0",
+			"engines": {
+				"node": ">=18.0.0"
+			}
+		},
+		"node_modules/@cloudflare/unenv-preset": {
+			"version": "2.14.0",
+			"resolved": "https://registry.npmjs.org/@cloudflare/unenv-preset/-/unenv-preset-2.14.0.tgz",
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+			"license": "MIT OR Apache-2.0",
+			"peerDependencies": {
+				"unenv": "2.0.0-rc.24",
+				"workerd": "^1.20260218.0"
+			},
+			"peerDependenciesMeta": {
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+			}
+		},
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+				"cookie": "^1.0.2",
+				"youch-core": "^0.3.3"
+			}
+		},
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+			"resolved": "https://registry.npmjs.org/youch-core/-/youch-core-0.3.3.tgz",
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+			"license": "MIT",
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+				"error-stack-parser-es": "^1.0.5"
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+}

pulsetransit-worker/package.json

@@ -0,0 +1,13 @@
+{
+	"name": "pulsetransit-worker",
+	"version": "0.2.0",
+	"private": true,
+	"scripts": {
+		"deploy": "wrangler deploy",
+		"dev": "wrangler dev --test-scheduled",
+		"start": "wrangler dev --test-scheduled"
+	},
+	"devDependencies": {
+		"wrangler": "^4.68.0"
+	}
+}

pulsetransit-worker/schema.sql

@@ -0,0 +1,36 @@
+CREATE TABLE IF NOT EXISTS estimaciones (
+  id          INTEGER PRIMARY KEY AUTOINCREMENT,
+  collected_at TEXT NOT NULL,
+  parada_id   INTEGER,
+  linea       TEXT,
+  fech_actual TEXT,
+  tiempo1     INTEGER,
+  tiempo2     INTEGER,
+  distancia1  INTEGER,
+  distancia2  INTEGER,
+  destino1    TEXT,
+  destino2    TEXT,
+  predicted_arrival TEXT,
+  UNIQUE(parada_id, linea, fech_actual)
+);
+
+CREATE INDEX IF NOT EXISTS idx_est_parada  ON estimaciones(parada_id);
+CREATE INDEX IF NOT EXISTS idx_est_linea   ON estimaciones(linea);
+CREATE INDEX IF NOT EXISTS idx_est_arrival ON estimaciones(predicted_arrival);
+
+CREATE TABLE IF NOT EXISTS posiciones (
+  id           INTEGER PRIMARY KEY AUTOINCREMENT,
+  collected_at TEXT NOT NULL,
+  instante     TEXT NOT NULL,
+  vehiculo     INTEGER,
+  linea        INTEGER,
+  lat          REAL,
+  lon          REAL,
+  velocidad    INTEGER,
+  estado       INTEGER,
+  UNIQUE(vehiculo, instante)
+);
+
+CREATE INDEX IF NOT EXISTS idx_pos_instant  ON posiciones(instante);
+CREATE INDEX IF NOT EXISTS idx_pos_linea    ON posiciones(linea);
+CREATE INDEX IF NOT EXISTS idx_pos_vehiculo ON posiciones(vehiculo);

pulsetransit-worker/src/index.js

@@ -0,0 +1,158 @@
+export default {
+	async fetch(req, env, ctx) {
+		const url = new URL(req.url);
+		
+		if (url.pathname === "/trigger") {
+			await collectEstimaciones(env);
+			await new Promise(r => setTimeout(r, 1000));
+			await collectPosiciones(env);
+			return new Response("Triggered estimaciones+posiciones");
+		}
+		
+		if (url.pathname === "/health") {
+			const lastEst = await env.DB.prepare(
+				"SELECT MAX(collected_at) as last FROM estimaciones"
+			).first();
+			const lastPos = await env.DB.prepare(
+				"SELECT MAX(collected_at) as last FROM posiciones"
+			).first();
+			
+			return Response.json({
+				status: "ok",
+				last_estimaciones: lastEst?.last,
+				last_posiciones: lastPos?.last
+			});
+		}
+		if (url.pathname === "/badge") {
+			const lastEst = await env.DB.prepare(
+				"SELECT MAX(collected_at) as last FROM estimaciones"
+			).first();
+
+			const now = new Date();
+			const lastTime = lastEst?.last ? new Date(lastEst.last) : null;
+			const ageSeconds = lastTime ? Math.floor((now - lastTime) / 1000) : Infinity;
+			const hourUTC = now.getUTCHours();
+			const inServiceHours = hourUTC >= 5 && hourUTC < 23; // 6am-midnight CET
+
+			let message, color;
+
+			if (!lastTime) {
+				message = "no data";
+				color = "lightgrey";
+			} else if (inServiceHours && ageSeconds > 1800) {
+				message = `stale ${Math.floor(ageSeconds / 60)}m`;
+				color = "red";
+			} else if (inServiceHours && ageSeconds > 600) {
+				message = `stale ${Math.floor(ageSeconds / 60)}m`;
+				color = "yellow";
+			} else if (!inServiceHours) {
+				message = "off hours";
+				color = "blue";
+			} else {
+				message = "live";
+				color = "brightgreen";
+			}
+
+			return Response.json({
+				schemaVersion: 1,
+				label: "TUS worker",
+				message,
+				color
+			}, {
+				headers: { "Cache-Control": "no-cache, max-age=0" }
+			});
+		}
+
+		
+		return new Response("pulsetransit-worker running");
+	},
+
+	async scheduled(event, env, ctx) {
+		if (event.cron === "0 * * * *") {
+			await collectPosiciones(env);
+		} else if (event.cron === "*/2 * * * *") {
+			await collectEstimaciones(env);
+		}
+	},
+};
+
+
+async function collectEstimaciones(env) {
+	const url = "https://datos.santander.es/api/rest/datasets/control_flotas_estimaciones.json?rows=5000";
+	const resp = await fetch(url, { signal: AbortSignal.timeout(25000) });
+	if (!resp.ok) throw new Error(`API fetch failed: ${resp.status}`);
+
+	const json = await resp.json();
+	const rows = json.resources ?? [];
+	const collectedAt = new Date().toISOString();
+
+	let inserted = 0;
+	for (const item of rows) {
+		const fechActual = item["ayto:fechActual"] ?? null;
+		const tiempo1 = item["ayto:tiempo1"] ?? null;
+
+		let predictedArrival = null;
+		if (fechActual && tiempo1 !== null) {
+			try {
+				const t = new Date(fechActual);
+				t.setSeconds(t.getSeconds() + Number(tiempo1));
+				predictedArrival = t.toISOString();
+			} catch (_) { }
+		}
+
+		const result = await env.DB.prepare(`
+      INSERT OR IGNORE INTO estimaciones
+        (collected_at, parada_id, linea, fech_actual, tiempo1, tiempo2,
+         distancia1, distancia2, destino1, destino2, predicted_arrival)
+      VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
+    `).bind(
+			collectedAt,
+			item["ayto:paradaId"] ?? null,
+			item["ayto:etiqLinea"] ?? null,
+			fechActual,
+			tiempo1,
+			item["ayto:tiempo2"] ?? null,
+			item["ayto:distancia1"] ?? null,
+			item["ayto:distancia2"] ?? null,
+			item["ayto:destino1"] ?? null,
+			item["ayto:destino2"] ?? null,
+			predictedArrival,
+		).run();
+
+		if (result.meta.changes > 0) inserted++;
+	}
+
+	console.log(`[${collectedAt}] estimaciones: ${inserted} new rows from ${rows.length} fetched`);
+}
+
+async function collectPosiciones(env) {
+  const url = "https://datos.santander.es/api/rest/datasets/control_flotas_posiciones.json?rows=5000";
+  const resp = await fetch(url, { signal: AbortSignal.timeout(25000) });
+  if (!resp.ok) throw new Error(`API fetch failed: ${resp.status}`);
+
+  const json = await resp.json();
+  const rows = json.resources ?? [];
+  const collectedAt = new Date().toISOString();
+
+  let inserted = 0;
+  for (const item of rows) {
+    const result = await env.DB.prepare(`
+      INSERT OR IGNORE INTO posiciones
+        (collected_at, instante, vehiculo, linea, lat, lon, velocidad, estado)
+      VALUES (?, ?, ?, ?, ?, ?, ?, ?)
+    `).bind(
+      collectedAt,
+      item["ayto:instante"]       ?? null,
+      item["ayto:vehiculo"]       ?? null,
+      item["ayto:linea"]          ?? null,
+      item["wgs84_pos:lat"]       ?? null,
+      item["wgs84_pos:long"]      ?? null,
+      item["ayto:velocidad"]      ?? null,
+      item["ayto:estado"]         ?? null,
+    ).run();
+
+    if (result.meta.changes > 0) inserted++;
+  }
+
+  console.log(`[${collectedAt}] posiciones: ${inserted} new rows from ${rows.length} fetched`);
+}

pulsetransit-worker/wrangler.jsonc

@@ -0,0 +1,22 @@
+/**
+ * For more details on how to configure Wrangler, refer to:
+ * https://developers.cloudflare.com/workers/wrangler/configuration/
+ */
+{
+  "$schema": "node_modules/wrangler/config-schema.json",
+  "name": "pulsetransit-worker",
+  "main": "src/index.js",
+  "compatibility_date": "2026-02-24",
+  "observability": { "enabled": true },
+  "compatibility_flags": ["nodejs_compat"],
+  "triggers": {
+    "crons": ["*/2 * * * *", "0 * * * *"]  // estimaciones every 5min, posiciones every hour
+  },
+  "d1_databases": [
+    {
+      "binding": "DB",
+      "database_name": "pulsetransit-db",
+      "database_id": "14eda04e-aa18-4fb4-a6cb-b3ca5c333cb9"
+    }
+  ]
+}

pyproject.toml

@@ -0,0 +1,20 @@
+[build-system]
+requires = ["setuptools>=61.0", "wheel"]
+build-backend = "setuptools.build_meta"
+
+[project]
+name = "pulsetransit"
+version = "0.4.0"
+description = "TUS Santander bus data pipeline and delay prediction"
+readme = "README.md"
+dependencies = [
+    "pandas",
+    "plotly",
+    "streamlit",
+    "streamlit_js_eval",
+]
+requires-python = ">=3.10"
+license = { text = "MIT" }
+
+[tool.setuptools.packages.find]
+where = ["src"]

src/pulsetransit/cfg/config.py

@@ -0,0 +1,49 @@
+LANG = {
+    "en": {
+        "title": "TUS Santander Tracker",
+        "subtitle": "Public transport network visualization",
+        "browse_tab": "Browse",
+        "plan_tab": "Plan",
+        "search_stop": "Search stop",
+        "search_placeholder": "Type stop ID or name to search...",
+        "click_info": "Click a stop on the map or use the search bar",
+        "scheduled_departures": "Scheduled Departures",
+        "no_departures": "No upcoming departures found for this stop.",
+        "line": "Line",
+        "destination": "Destination",
+        "time": "Time",
+        "in": "In",
+        "min": "min",
+        "now": "Now",
+        "plan_trip": "Plan Your Trip",
+        "query_time": "Query time",
+        "query_time_help": "Show schedules for this time of day",
+        "coming_soon": " COMING SOON: \n - 📍 Live bus positions, \n - ⏱️ Real-time arrival predictions (estimaciones), and \n3) 💻 ML-enhanced predictions (currently collecting training data)",
+        "stops":"Stops",
+        "selected_stop": "Selected Stop"
+    },
+    "es": {
+        "title": "TUS Santander Tracker",
+        "subtitle": "Visualización de la red de transporte público",
+        "browse_tab": "Explorar",
+        "plan_tab": "Planificar",
+        "search_stop": "Buscar parada",
+        "search_placeholder": "Escribe el nombre o el número de parada...",
+        "click_info": "Pulsa en una parada del mapa o usa el buscador",
+        "scheduled_departures": "Próximas Salidas",
+        "no_departures": "No se encontraron salidas próximas para esta parada.",
+        "line": "Línea",
+        "destination": "Destino",
+        "time": "Hora",
+        "in": "En",
+        "min": "min",
+        "now": "Ahora",
+        "plan_trip": "Planifica tu Viaje",
+        "query_time": "Hora de consulta",
+        "query_time_help": "Mostrar horarios para esta hora del día",
+        "coming_soon": " PRÓXIMAMENTE:\n - 📍 Posiciones en vivo de autobuses, \n - ⏱️ Predicciones de llegada en tiempo real (estimaciones), \n - 💻 Predicciones mejoradas con ML (actualmente recopilando datos de entrenamiento)",
+        "stops":"Paradas",
+        "selected_stop": "Parada Seleccionada"
+   
+    }
+}

src/pulsetransit/collector.py

@@ -0,0 +1,89 @@
+# collector.py
+import urllib.request
+import json
+from datetime import datetime, timezone
+from pulsetransit.db import get_connection, init_db
+
+
+def fetch_json(dataset, rows=5000):
+    url = f"http://datos.santander.es/api/rest/datasets/{dataset}.json?rows={rows}"
+    with urllib.request.urlopen(url, timeout=30) as r:
+        return json.loads(r.read()).get("resources", [])
+
+def collect_estimaciones(conn):
+    collected_at = datetime.now(timezone.utc).isoformat()
+    rows = fetch_json("control_flotas_estimaciones")
+    inserted = 0
+    for item in rows:
+        fech_actual = item.get("ayto:fechActual")
+        tiempo1 = item.get("ayto:tiempo1")
+        # Compute predicted arrival = fechActual + tiempo1 seconds
+        predicted_arrival = None
+        if fech_actual and tiempo1 is not None:
+            try:
+                from datetime import timedelta
+                t = datetime.fromisoformat(fech_actual.replace("Z", "+00:00"))
+                predicted_arrival = (t + timedelta(seconds=int(tiempo1))).isoformat()
+            except Exception:
+                pass
+        try:
+            conn.execute("""
+                INSERT OR IGNORE INTO estimaciones
+                (collected_at, parada_id, linea, fech_actual, tiempo1, tiempo2,
+                 distancia1, distancia2, destino1, destino2, predicted_arrival)
+                VALUES (?,?,?,?,?,?,?,?,?,?,?)
+            """, (
+                collected_at,
+                item.get("ayto:paradaId"),
+                item.get("ayto:etiqLinea"),
+                fech_actual,
+                tiempo1,
+                item.get("ayto:tiempo2"),
+                item.get("ayto:distancia1"),
+                item.get("ayto:distancia2"),
+                item.get("ayto:destino1"),
+                item.get("ayto:destino2"),
+                predicted_arrival
+            ))
+            inserted += conn.execute("SELECT changes()").fetchone()[0]
+        except Exception as e:
+            print(f"  estimaciones insert error: {e}")
+    conn.commit()
+    print(f"[{collected_at}] estimaciones: {inserted} new rows from {len(rows)} fetched")
+
+def collect_posiciones(conn):
+    collected_at = datetime.now(timezone.utc).isoformat()
+    rows = fetch_json("control_flotas_posiciones")
+    inserted = 0
+    for item in rows:
+        try:
+            conn.execute("""
+                INSERT OR IGNORE INTO posiciones
+                (collected_at, instante, vehiculo, linea, lat, lon, velocidad, estado)
+                VALUES (?,?,?,?,?,?,?,?)
+            """, (
+                collected_at,
+                item.get("ayto:instante"),
+                item.get("ayto:vehiculo"),
+                item.get("ayto:linea"),
+                item.get("wgs84_pos:lat"),
+                item.get("wgs84_pos:long"),
+                item.get("ayto:velocidad"),
+                item.get("ayto:estado"),
+            ))
+            inserted += conn.execute("SELECT changes()").fetchone()[0]
+        except Exception as e:
+            print(f"  posiciones insert error: {e}")
+    conn.commit()
+    print(f"[{collected_at}] posiciones: {inserted} new rows from {len(rows)} fetched")
+
+if __name__ == "__main__":
+    import sys
+    conn = get_connection()
+    init_db(conn)
+    mode = sys.argv[1] if len(sys.argv) > 1 else "both"
+    if mode in ("estimaciones", "both"):
+        collect_estimaciones(conn)
+    if mode in ("posiciones", "both"):
+        collect_posiciones(conn)
+    conn.close()

src/pulsetransit/dashboard/app.py

@@ -0,0 +1,201 @@
+# -*- coding: utf-8 -*-
+import streamlit as st
+import pandas as pd
+from datetime import datetime
+from pathlib import Path
+
+from pulsetransit.dashboard.map import (
+    build_map,
+    load_stops,
+    load_shapes,
+    load_trips,
+    load_routes,
+)
+from pulsetransit.dashboard.schedules import get_next_departures
+from pulsetransit.cfg.config import LANG
+
+def render_interactive_map(stops, shapes, trips, routes, highlight_stop_id=None, lang_code='es'):
+    """Render map and handle click interactions"""
+    fig = build_map(
+        stops=stops, 
+        shapes=shapes, 
+        trips=trips, 
+        routes=routes,
+        highlight_stop_id=highlight_stop_id,
+        lang_code=lang_code
+    )
+
+    selected_point = st.plotly_chart(
+        fig,
+        width='stretch',
+        on_select="rerun",
+        selection_mode="points",
+        key="transit_map",
+    )
+
+    if selected_point and "selection" in selected_point:
+        points = selected_point["selection"].get("points", [])
+        if points:
+            point = points[0]
+            clicked_lat = point["lat"]
+            clicked_lon = point["lon"]
+
+            stops["dist"] = (
+                (stops["stop_lat"] - clicked_lat) ** 2 +
+                (stops["stop_lon"] - clicked_lon) ** 2
+            )
+            nearest_stop = stops.loc[stops["dist"].idxmin()]
+            new_stop_id = int(nearest_stop["stop_id"])
+
+            if new_stop_id != st.session_state.clicked_stop_id:
+                st.session_state.clicked_stop_id = new_stop_id
+                st.rerun()
+
+def display_stop_schedule(active_stop_id, stops, t):
+    """Display schedule for a given stop"""
+    st.subheader(t["scheduled_departures"])
+    stop_info = stops[stops["stop_id"] == active_stop_id].iloc[0]
+    stop_name = stop_info["stop_name"]
+
+    st.markdown(f"**{active_stop_id} - {stop_name}**")
+
+    reference_dt = datetime.now()
+    departures = get_next_departures(active_stop_id, reference_dt, limit=10)
+
+    if not departures.empty:
+        departures["In"] = departures["minutes_until"].apply(
+            lambda m: f"{m} min" if m > 0 else "Now"
+        )
+        display = departures[[
+            "route_short_name",
+            "trip_headsign",
+            "departure_time",
+            "In"
+        ]]
+        display.columns = [t["line"], t["destination"], t["time"], t["in"]]
+
+        st.dataframe(display, width='stretch', hide_index=True)
+    else:
+        st.info("No upcoming departures found for this stop.")
+
+# Get language from query params
+query_params = st.query_params
+default_lang = query_params.get("lang", "es")  # Default to Spanish
+if default_lang not in ["en", "es"]:
+    default_lang = "es"
+
+#Page config and language selector
+st.set_page_config(page_title="PulseTransit - Santander TUS", layout="wide", page_icon="🚌")
+
+st.markdown("""
+    <style>
+    
+    /* Ensure the markdown (subtitle) doesn't have its own bottom margin */
+    .stMarkdown div p { margin-bottom: 0.5rem !important; }
+    
+    /* Optional: fine-tune tab list position */
+    .stTabs [data-baseweb="tab-list"] { margin-top: -2.0rem !important; }
+    </style>
+    """, unsafe_allow_html=True)
+
+# Language selector in header (Meteomat style)
+col1, col2 = st.columns([6, 1], vertical_alignment="top")
+with col2:
+    default_idx = 0 if default_lang == "en" else 1
+    lang = st.selectbox("🌐", ["🇬🇧 EN", "🇪🇸 ES"], index=default_idx, label_visibility="collapsed", key="lang_selector")
+    lang_code = "en" if "EN" in lang else "es"
+
+    # Update URL when language changes
+    if lang_code != default_lang:
+        st.query_params["lang"] = lang_code
+
+# Get translations for current language
+t = LANG[lang_code]
+
+with col1:
+    st.title(f"🚌 {t['title']}")
+    st.markdown(f"**{t['subtitle']}** · Santander, España", unsafe_allow_html=True)
+
+
+# Load GTFS data
+stops = load_stops()
+shapes = load_shapes()
+trips = load_trips()
+routes = load_routes()
+
+# Initialize session state
+if "clicked_stop_id" not in st.session_state:
+    st.session_state.clicked_stop_id = None
+
+# MOBILE DETECTION
+try:
+    from streamlit_js_eval import streamlit_js_eval
+    screen_width = streamlit_js_eval(js_expressions='window.innerWidth', key='WIDTH')
+    is_mobile = screen_width and screen_width < 768
+except:
+    is_mobile = False
+
+
+
+# TABS: Browse vs Plan
+tab_browse, tab_plan = st.tabs([f"📅 {t['browse_tab']}", f"🚏 {t['plan_tab']}"])
+
+with tab_browse:
+    # SEARCH ABOVE MAP
+    stops["search_label"] = stops["stop_id"].astype(str) + " - " + stops["stop_name"]
+    stop_options = [""] + stops["search_label"].tolist()
+    st.info(f"👆 {t['click_info']}")
+
+    selected_stop_label = st.selectbox(
+        t["search_stop"],
+        options=stop_options,
+        index=None,
+        placeholder=t["search_placeholder"],
+        label_visibility='collapsed'
+    )
+
+    # Parse selected stop
+    selected_stop_id = None
+    if selected_stop_label:
+        selected_stop_id = int(selected_stop_label.split(" - ")[0])
+
+    # Determine active stop: search bar > map click
+    if selected_stop_id:
+        active_stop_id = selected_stop_id
+        st.session_state.clicked_stop_id = None
+    else:
+        active_stop_id = st.session_state.clicked_stop_id
+
+    # RESPONSIVE LAYOUT
+    if is_mobile:
+        # Mobile: Schedules FIRST, then map
+        if active_stop_id: display_stop_schedule(active_stop_id, stops, t)
+
+        # Map schedules on mobile
+        render_interactive_map(stops, shapes, trips, routes, highlight_stop_id=active_stop_id, lang_code=lang_code)
+
+    else:
+        # Desktop: Full-width map until stop is selected
+        if active_stop_id:
+            # Stop selected: 2-column layout
+            col1, col2 = st.columns([2, 1])
+
+            with col1:
+                render_interactive_map(stops, shapes, trips, routes, highlight_stop_id=active_stop_id, lang_code=lang_code)
+
+            with col2:
+                display_stop_schedule(active_stop_id, stops, t)
+
+        else:
+            render_interactive_map(stops, shapes, trips, routes, highlight_stop_id=None , lang_code=lang_code)
+
+with tab_plan:
+    st.subheader(t["plan_trip"])
+
+    # Query time
+    query_time = st.time_input(
+        t["query_time"],
+        value=datetime.now().time(),
+        help="Show schedules for this time of day"
+    )
+    st.info(t["coming_soon"])

src/pulsetransit/dashboard/map.py

@@ -0,0 +1,261 @@
+import pandas as pd
+import plotly.graph_objects as go
+from pathlib import Path
+from pulsetransit.cfg.config import LANG
+SANTANDER = dict(lat=43.4623, lon=-3.8099)
+GTFS_DIR = Path("data/gtfs-static")
+
+def load_stops() -> pd.DataFrame:
+    return pd.read_csv(GTFS_DIR / "stops.txt")
+
+def load_shapes() -> pd.DataFrame:
+    return pd.read_csv(GTFS_DIR / "shapes.txt")
+
+def load_routes() -> pd.DataFrame:
+    return pd.read_csv(GTFS_DIR / "routes.txt")
+
+def load_trips() -> pd.DataFrame:
+    return pd.read_csv(GTFS_DIR / "trips.txt")
+
+def _build_shape_colors(trips: pd.DataFrame, routes: pd.DataFrame) -> dict:
+    """Map shape_id → (route_short_name, #rrggbb color)."""
+    shape_route = trips[["shape_id", "route_id"]].drop_duplicates("shape_id")
+    merged = shape_route.merge(
+        routes[["route_id", "route_short_name", "route_color"]],
+        on="route_id"
+    )
+    merged["color"] = merged["route_color"].apply(
+        lambda c: f"#{c}" if pd.notna(c) and str(c).strip() else "#888888"
+    )
+    return merged.set_index("shape_id")[["route_short_name", "color"]].to_dict("index")
+
+def _shapes_to_lines_colored(
+    shapes: pd.DataFrame,
+    shape_colors: dict,
+    lang_code: str,
+) -> list[dict]:
+    """One trace per route, with None separators within each."""
+    route_groups: dict[str, dict] = {}
+    t = LANG[lang_code]
+    
+    for shape_id, group in shapes.groupby("shape_id", sort=False):
+        info = shape_colors.get(shape_id)
+        if info is None:
+            continue
+        
+        color = info["color"]
+        name = info["route_short_name"]
+        if name == "99": continue # remove 99 lanzadera from list
+        # Group by route NAME (not color)
+        if name not in route_groups:
+            route_groups[name] = {
+                "name": f"{t['line']} {name}",
+                "color": color,
+                "lats": [],
+                "lons": []
+            }
+        
+        pts = group.sort_values("shape_pt_sequence")
+        route_groups[name]["lats"].extend(pts["shape_pt_lat"].tolist() + [None])
+        route_groups[name]["lons"].extend(pts["shape_pt_lon"].tolist() + [None])
+    
+    # Sort: LC first, then by route number
+    def sort_key(item):
+        name_key, data = item
+        
+        if name_key == "LC":
+            return (0, 0, "")
+        
+        if name_key[0].isdigit():
+            num_part = ""
+            for char in name_key:
+                if char.isdigit():
+                    num_part += char
+                else:
+                    break
+            
+            if num_part == name_key:
+                return (1, int(num_part), "")
+            else:
+                suffix = name_key[len(num_part):]
+                return (1, int(num_part), suffix)
+        
+        return (2, 0, name_key)
+    
+    sorted_groups = sorted(route_groups.items(), key=sort_key)
+    
+    return [{"color": v["color"], "name": v["name"], "lats": v["lats"], "lons": v["lons"]} for k, v in sorted_groups]
+
+def _extract_arrow_points(shapes: pd.DataFrame, shape_colors: dict, interval: int = 15) -> list[dict]:
+    """Extract evenly-spaced arrow markers along each shape."""
+    arrows = []
+    for shape_id, group in shapes.groupby("shape_id", sort=False):
+        info = shape_colors.get(shape_id, {"route_short_name": "?", "color": "#888888"})
+        pts = group.sort_values("shape_pt_sequence")
+        
+        # Sample every Nth point for arrows
+        sampled = pts.iloc[::interval]
+        if len(sampled) < 2:
+            continue
+        
+        # Calculate bearing from current point to next point
+        lats, lons, angles = [], [], []
+        for i in range(len(sampled) - 1):
+            lat1, lon1 = sampled.iloc[i][["shape_pt_lat", "shape_pt_lon"]]
+            lat2, lon2 = sampled.iloc[i+1][["shape_pt_lat", "shape_pt_lon"]]
+            
+            # Simple angle calculation (good enough for small distances)
+            import math
+            dlat = lat2 - lat1
+            dlon = lon2 - lon1
+            angle = math.degrees(math.atan2(dlon, dlat))
+            
+            lats.append(lat1)
+            lons.append(lon1)
+            angles.append(angle)
+        
+        arrows.append({
+            "lats": lats,
+            "lons": lons,
+            "angles": angles,
+            "color": info["color"],
+            "name": info["route_short_name"],
+        })
+    return arrows
+
+def build_map(
+    stops: pd.DataFrame | None = None,
+    shapes: pd.DataFrame | None = None,
+    trips: pd.DataFrame | None = None,
+    routes: pd.DataFrame | None = None,
+    highlight_stop_id: int | None = None,
+    lang_code: str = 'es',
+) -> go.Figure:
+    fig = go.Figure()
+
+    if shapes is not None and trips is not None and routes is not None:
+        shape_colors = _build_shape_colors(trips, routes)
+        
+        # Route lines
+        for trace in _shapes_to_lines_colored(shapes, shape_colors, lang_code):
+            fig.add_trace(go.Scattermap(
+                lat=trace["lats"],
+                lon=trace["lons"],
+                mode="lines",
+                line=dict(width=3, color=trace["color"]),
+                hoverinfo="skip",
+                name=trace["name"],
+                showlegend=True,
+            ))
+        
+        # Direction arrows
+        for arrow in _extract_arrow_points(shapes, shape_colors):
+            fig.add_trace(go.Scattermap(
+                lat=arrow["lats"],
+                lon=arrow["lons"],
+                mode="markers",
+                marker=dict(
+                    size=8,
+                    color=arrow["color"],
+                    symbol="arrow",
+                    angle=arrow["angles"],
+                ),
+                hoverinfo="skip",
+                showlegend=False,
+            ))
+    
+    elif shapes is not None:
+        # Fallback: no color info
+        lats, lons = [], []
+        for _, group in shapes.groupby("shape_id", sort=False):
+            pts = group.sort_values("shape_pt_sequence")
+            lats.extend(pts["shape_pt_lat"].tolist() + [None])
+            lons.extend(pts["shape_pt_lon"].tolist() + [None])
+        fig.add_trace(go.Scattermap(
+            lat=lats, lon=lons, mode="lines",
+            line=dict(width=3, color="#888888"),
+            hoverinfo="skip", name="Routes",
+        ))
+    t= LANG["es"]
+    if stops is not None:
+        # Separate highlighted stop from others
+        if highlight_stop_id is not None:
+            regular_stops = stops[stops["stop_id"] != highlight_stop_id]
+            highlighted = stops[stops["stop_id"] == highlight_stop_id]
+        else:
+            regular_stops = stops
+            highlighted = pd.DataFrame()
+
+        if not regular_stops.empty:
+            # Dark border layer
+            fig.add_trace(go.Scattermap(
+                lat=regular_stops["stop_lat"],
+                lon=regular_stops["stop_lon"],
+                mode="markers",
+                marker=dict(size=10, color="#333333", opacity=0.8),
+                hoverinfo="skip",
+                showlegend=False,
+            ))
+            # Visible inner circle
+            fig.add_trace(go.Scattermap(
+                lat=regular_stops["stop_lat"],
+                lon=regular_stops["stop_lon"],
+                mode="markers",
+                marker=dict(size=7, color="#B8B6B6", opacity=1.0),
+                text=regular_stops["stop_id"].astype(str) + " - " + regular_stops["stop_name"],
+                hovertemplate="<b>%{text}</b><extra></extra>",  # ← simplified
+                name=t["stops"],
+            ))
+# Highlighted stop (larger, bright color)
+        if not highlighted.empty:
+            fig.add_trace(go.Scattermap(
+                lat=highlighted["stop_lat"],
+                lon=highlighted["stop_lon"],
+                mode="markers",
+                marker=dict(size=16, color="#FF4444", opacity=0.9),
+                hoverinfo="skip",
+                showlegend=False,
+            ))
+            fig.add_trace(go.Scattermap(
+                lat=highlighted["stop_lat"],
+                lon=highlighted["stop_lon"],
+                mode="markers",
+                marker=dict(size=12, color="white", opacity=1.0),
+                text=highlighted["stop_id"].astype(str) + " - " + highlighted["stop_name"],
+                hovertemplate="<b>%{text}</b><extra></extra>",
+                name=t["selected_stop"],
+            ))
+            
+            # Zoom to highlighted stop
+            center = dict(
+                lat=highlighted["stop_lat"].iloc[0],
+                lon=highlighted["stop_lon"].iloc[0]
+            )
+            zoom = 16  # Closer zoom
+        else:
+            center = SANTANDER
+            zoom = 13
+    else:
+        center = SANTANDER
+        zoom = 13
+
+
+    fig.update_layout(
+        map=dict(
+            style="open-street-map",
+            center=center,
+            zoom=zoom,
+        ),
+        legend=dict(bgcolor="rgba(255,255,255,0.8)", borderwidth=1),
+        margin=dict(l=0, r=0, t=0, b=0),
+        height=600,
+    )
+    return fig
+
+if __name__ == "__main__":
+    build_map(
+        stops=load_stops(),
+        shapes=load_shapes(),
+        trips=load_trips(),
+        routes=load_routes(),
+    ).show()

src/pulsetransit/dashboard/schedules.py

@@ -0,0 +1,98 @@
+import pandas as pd
+from pathlib import Path
+from datetime import datetime, time, timedelta
+
+GTFS_DIR = Path("data/gtfs-static")
+
+def load_stop_times() -> pd.DataFrame:
+    return pd.read_csv(GTFS_DIR / "stop_times.txt")
+
+def load_trips() -> pd.DataFrame:
+    return pd.read_csv(GTFS_DIR / "trips.txt")
+
+def load_routes() -> pd.DataFrame:
+    return pd.read_csv(GTFS_DIR / "routes.txt")
+
+def load_calendar_dates() -> pd.DataFrame:
+    return pd.read_csv(GTFS_DIR / "calendar_dates.txt")
+
+
+def _parse_gtfs_time(time_str: str) -> int:
+    """Convert GTFS time string (HH:MM:SS, possibly >24h) to minutes since midnight."""
+    h, m, s = map(int, time_str.split(":"))
+    return h * 60 + m
+
+
+def get_next_departures(
+    stop_id: int,
+    reference_datetime: datetime,
+    limit: int = 10
+) -> pd.DataFrame:
+    """
+    Get next N scheduled departures for a stop after reference_datetime.
+    
+    Returns DataFrame with columns:
+    - route_short_name: Line number/name
+    - trip_headsign: Destination
+    - departure_time: Original GTFS time string
+    - minutes_until: Minutes from now until departure
+    """
+    # Load data
+    stop_times = load_stop_times()
+    trips = load_trips()
+    routes = load_routes()
+    calendar = load_calendar_dates()
+    
+    # Filter by stop
+    stop_schedule = stop_times[stop_times["stop_id"] == stop_id].copy()
+    
+    # Join to get route and service info
+    stop_schedule = stop_schedule.merge(trips, on="trip_id")
+    stop_schedule = stop_schedule.merge(
+        routes[["route_id", "route_short_name", "route_color"]], 
+        on="route_id"
+    )
+    
+    # Filter by service active on reference date
+    date_str = reference_datetime.strftime("%Y%m%d")
+    active_services = calendar[
+        (calendar["date"] == int(date_str)) & (calendar["exception_type"] == 1)
+    ]["service_id"].unique()
+    
+    stop_schedule = stop_schedule[stop_schedule["service_id"].isin(active_services)]
+    
+    # Convert times to minutes since midnight
+    stop_schedule["departure_minutes"] = stop_schedule["departure_time"].apply(_parse_gtfs_time)
+    reference_minutes = reference_datetime.hour * 60 + reference_datetime.minute
+    
+    # Handle overnight times: if departure > 24h, it's for "tomorrow" in GTFS terms
+    # but we're querying for "today", so skip those unless we're past midnight
+    stop_schedule["minutes_until"] = stop_schedule["departure_minutes"] - reference_minutes
+    
+    # Filter future departures only
+    upcoming = stop_schedule[stop_schedule["minutes_until"] >= 0].copy()
+    
+    # Sort and limit
+    upcoming = upcoming.sort_values("minutes_until").head(limit)
+    
+    return upcoming[[
+        "route_short_name", 
+        "trip_headsign", 
+        "departure_time",
+        "minutes_until"
+    ]]
+
+
+if __name__ == "__main__":
+    # Test with a real stop
+    stop_times = load_stop_times()
+    sample_stop = stop_times["stop_id"].iloc[0]
+    
+    print(f"Testing stop_id: {sample_stop}")
+    
+    # Test at 10:00 AM today
+    test_time = datetime.now().replace(hour=10, minute=0, second=0, microsecond=0)
+    
+    departures = get_next_departures(sample_stop, test_time, limit=5)
+    print(f"\nNext 5 departures from stop {sample_stop} after {test_time.strftime('%H:%M')}:")
+    print(departures.to_string(index=False))

src/pulsetransit/db.py

@@ -0,0 +1,45 @@
+# src/pulsetransit/db.py
+import sqlite3
+from pathlib import Path
+
+DB_PATH = Path(__file__).parent.parent.parent / "data" / "tus.db"
+
+def get_connection():
+    DB_PATH.parent.mkdir(parents=True, exist_ok=True)
+    conn = sqlite3.connect(DB_PATH)
+    conn.row_factory = sqlite3.Row
+    return conn
+
+def init_db(conn):
+    conn.execute("""
+        CREATE TABLE IF NOT EXISTS estimaciones (
+            id INTEGER PRIMARY KEY AUTOINCREMENT,
+            collected_at TEXT NOT NULL,
+            parada_id INTEGER,
+            linea TEXT,
+            fech_actual TEXT,
+            tiempo1 INTEGER,
+            tiempo2 INTEGER,
+            distancia1 INTEGER,
+            distancia2 INTEGER,
+            destino1 TEXT,
+            destino2 TEXT,
+            predicted_arrival TEXT,
+            UNIQUE(parada_id, linea, fech_actual)
+        )
+    """)
+    conn.execute("""
+        CREATE TABLE IF NOT EXISTS posiciones (
+            id INTEGER PRIMARY KEY AUTOINCREMENT,
+            collected_at TEXT NOT NULL,
+            instante TEXT NOT NULL,
+            vehiculo INTEGER,
+            linea INTEGER,
+            lat REAL,
+            lon REAL,
+            velocidad INTEGER,
+            estado INTEGER,
+            UNIQUE(vehiculo, instante)
+        )
+    """)
+    conn.commit()

src/pulsetransit/validate.py

@@ -0,0 +1,35 @@
+import sqlite3
+import sys
+from datetime import datetime, timezone, timedelta
+from pathlib import Path
+
+DB_PATH = Path(__file__).parent.parent.parent / "data" / "tus.db"
+MAX_AGE_HOURS = 2  # fail if no data collected in last 2 hours
+
+def check_table(conn, table, time_col):
+    row = conn.execute(f"SELECT COUNT(*), MAX({time_col}) FROM {table}").fetchone()
+    count, latest = row[0], row[1]
+    if not latest:
+        print(f"  FAIL — {table}: no data at all")
+        return False
+    # Normalise timestamp
+    latest_dt = datetime.fromisoformat(latest.replace("Z", "+00:00"))
+    age = datetime.now(timezone.utc) - latest_dt
+    ok = age < timedelta(hours=MAX_AGE_HOURS)
+    status = "OK" if ok else "FAIL"
+    print(f"  {status} — {table}: {count} rows, latest {latest_dt.strftime('%H:%M UTC')} ({age.seconds//60} min ago)")
+    return ok
+
+conn = sqlite3.connect(DB_PATH)
+print(f"Validating at {datetime.now(timezone.utc).strftime('%Y-%m-%d %H:%M UTC')}")
+results = [
+    check_table(conn, "estimaciones", "collected_at"),
+    check_table(conn, "posiciones",   "instante"),
+]
+conn.close()
+
+if not all(results):
+    print("Validation FAILED")
+    sys.exit(1)
+
+print("Validation PASSED")